Geoff Hinton, the Father of Deep Learning

Episode Overview

Among other topics, Geoff discusses the following issues with Metis Strategy:

• His day to day work as a professor at the University of Toronto and as a distinguished researcher at Google
• His thoughts on the current progress of the development of true artificial intelligence
• What inspired him to pursue his PhD in Artificial Intelligence when the topic was less prominent than it is today
• The founding of the Neural Computation and Adaptive Perception Program (NCAP) and how he brought these world class thinkers together
• The outcomes of his work at the NCAP
• His perspectives on non-profit work being a major player within the Artificial Intelligence space
• How much crossover there is between his work at the University of Toronto and his work at Google
• DeepMind, the importance of it, and how contests like the recent AlphaGo are important in the field of Artificial Intelligence
• His perspectives on the risk vs. opportunity within AI
• Whether the government has a role to play in pending job losses due to artificial intelligence
• His thoughts on the recent trend of skipping university to move straight into entrepreneurship

Geoff Hinton’s Biography

Geoff Hinton is a Distinguished Emeritus Professor at the University of Toronto and also works at Google, where he uses deep learning techniques to improve voice recognition, image tagging and other tools.  He has worked part-time at Google since 2013, when his company DNNresearch Inc., was acquired.

Geoff is known for his work on artificial neural networks, and is an important figure in the “deep learning” community.  He has authored over 200 publications in the area of leanring, memory, perception, and symbol processing, including pieces in Scientific American in 1992 and 1993.

Geoff received his Bachelor of Arts in experimental psychology from Kings College at Cambridge, and his PhD in Artificial Intelligence from the University of Edinburgh in 1977.

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